Supervised training of spiking neural networks for robust deployment on mixed-signal neuromorphic processors
Abstract Mixed-signal analog/digital circuits emulate spiking neurons and synapses with extremely high energy efficiency, an approach known as “neuromorphic engineering”. However, analog circuits are sensitive to process-induced variation among transistors in a chip (“device mismatch”). For neuromor...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/14e9f78b35774441b084b0d57ac11b34 |
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